Library Hours
Monday to Friday: 9 a.m. to 9 p.m.
Saturday: 9 a.m. to 5 p.m.
Sunday: 1 p.m. to 9 p.m.
Naper Blvd. 1 p.m. to 5 p.m.
     
Limit search to available items
Results Page:  Previous Next
Author Decreusefond, Laurent, 1966-

Title Stochastic modeling and analysis of telecom networks / Laurent Decreusefond, Pascal Moyal ; series editor Nikolaos Limnios. [O'Reilly electronic resource]

Imprint Hoboken, NJ : J. Wiley & Sons ; London : ISTE, 2012.
QR Code
Description 1 online resource (1 volume) : illustrations
Series ISTE
ISTE.
Bibliography Includes bibliographical references and index.
Contents Cover; Stochastic Modeling and Analysis of Telecom Networks; Title Page; Copyright Page; Table of Contents; Preface; Chapter 1. Introduction; 1.1. Traffic, load, Erlang, etc.; 1.2. Notations and nomenclature; 1.3. Lindley and Beneš; 1.4. Notes and comments; PART 1: DISCRETE-TIME MODELING; Chapter 2. Stochastic Recursive Sequences; 2.1. Canonical space; 2.2. Loynes's scheme; 2.3. Coupling; 2.4. Comparison of stochastic recursive sequences; 2.5. Notes and comments; Chapter 3. Markov Chains; 3.1. Definition and examples; 3.2. Strong Markov property; 3.3. Classification of states.
3.4. Invariant measures and invariant probability3.5. Effective calculation of the invariant probability; 3.6. Problems; 3.7. Notes and comments; Chapter 4. Stationary Queues; 4.1. Single server queues; 4.2. Processor sharing queue; 4.3. Parallel queues; 4.4. The queue with S servers; 4.5. Infinite servers queue; 4.6. Queues with impatient customers; 4.7. Notes and comments; Chapter 5. The M/GI/1 Queue; 5.1. The number of customers in the queue; 5.2. Pollacek-Khinchin formulas; 5.3. Sojourn time; 5.4. Tail distribution of the waiting time; 5.5. Busy periods; PART 2: CONTINUOUS-TIME MODELING.
Chapter 6. Poisson Process6.1. Definitions; 6.2. Properties; 6.3. Discrete analog: the Bernoulli process; 6.4. Simulation of the Poisson process; 6.5. Non-homogeneous Poisson process; 6.6. Cox processes; 6.7. Problems; Chapter 7. Markov Process; 7.1. Preliminaries; 7.2. Pathwise construction; 7.3. Markovian semi-group and infinitesimal generator; 7.4. Martingale problem; 7.5. Reversibility and applications; 7.6. Markov Modulated Poisson Processes; 7.7. Problems; 7.8. Notes and comments; Chapter 8. Systems with Delay; 8.1. Little's Formula; 8.2. Single server queue; 8.3. Multiple server queue.
8.4. Processor sharing queue8.5. The M / M / "queue; 8.6. The departure process; 8.7. Queuing networks; 8.8. Problems; 8.9. Notes and comments; Chapter 9. Loss Systems; 9.1. General; 9.2. Erlang model; 9.3. The M/M/1/1 + C queue; 9.4. The "trunk" effect; 9.5. Engset model; 9.6. IPP/M/S/S queue; 9.7. Generalized Erlang models; 9.8. Hierarchical networks; 9.9. A model with balking; 9.10. A call center with impatient customers; 9.11. Problems; 9.12. Notes and comments; PART 3: SPATIAL MODELING; Chapter 10. Spatial Point Processes; 10.1. Preliminary; 10.2. Stochastic geometry.
10.3. Poisson process; 10.4. Stochastic analysis; 10.5. Problems; 10.6. Notes and comments; Appendix A. Mathematical Toolbox; A.1. Probability spaces and processes; A.2. Conditional expectation; A.3. Vector spaces and orders; A.4. Bounded variation processes; A.5. Martingales; A.6. Laplace transform; A.7. Notes and comments; Bibliography; Index.
Summary This book addresses the stochastic modeling of telecommunication networks, introducing the main mathematical tools for that purpose, such as Markov processes, real and spatial point processes and stochastic recursions, and presenting a wide list of results on stability, performances and comparison of systems. The authors propose a comprehensive mathematical construction of the foundations of stochastic network theory: Markov chains, continuous time Markov chains are extensively studied using an original martingale-based approach. A complete presentation of stochastic recursions from an.
Subject Mobile communication systems.
System analysis -- Mathematical models.
Radiocommunications mobiles.
Analyse de systèmes -- Modèles mathématiques.
Mobile communication systems
System analysis -- Mathematical models
Added Author Moyal, Pascal, 1978-
Limnios, N. (Nikolaos)
Other Form: Print version: Decreusefond, Laurent, 1966- Stochastic modeling and analysis of telecom networks. London : ISTE ; Hoboken, NJ : Wiley, 2012 9781848212381 (DLC) 2011036865 (OCoLC)757838196
ISBN 9781118563014
1118563018
1848212380
9781848212381
9781299190306 (MyiLibrary)
1299190308 (MyiLibrary)
9781118563045 (electronic bk.)
1118563042 (electronic bk.)
9781118562628 (electronic bk.)
1118562623 (electronic bk.)
Patron reviews: add a review
Click for more information
EBOOK
No one has rated this material

You can...
Also...
- Find similar reads
- Add a review
- Sign-up for Newsletter
- Suggest a purchase
- Can't find what you want?
More Information